USENIX Security ’23 – ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms

Authors/Presenters:Minzhou Pan and Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia

Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access.

Originating from the conference’s events situated at the Anaheim Marriott; and via the organizations YouTube channel.

Permalink

The post USENIX Security ’23 – ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms appeared first on Security Boulevard.

access asset authors backdoor conference data data detection deep learning detection events marriott open access organizations pan publishing security security conferences thanks usenix usenix security usenix security ’23